Overview
What is Mcp Cornell Resume?
Mcp Cornell Resume is a Model Context Protocol (MCP) server that automatically generates Cornell-style study notes and summaries from conversational context, integrating active recall question generation and Notion synchronization.
How to use Mcp Cornell Resume?
To use the MCP server, clone the repository, install the required dependencies, configure your environment with API keys, and run the server. You can then integrate it with compatible applications like Claude Client Desktop.
Key features of Mcp Cornell Resume?
- Real-time Cornell-style note generation from chat history.
- Context-aware active recall question generation using vector similarity.
- Semantic search integration with Pinecone for relevant note retrieval.
- Automatic synchronization with Notion for organized note storage.
- OpenAI-powered text processing and question generation.
Use cases of Mcp Cornell Resume?
- Generating structured study notes from lecture conversations.
- Creating active recall questions for exam preparation.
- Organizing notes in Notion for easy access and review.
FAQ from Mcp Cornell Resume?
- Can I use Mcp Cornell Resume with any chat application?
Yes, it can be integrated with any MCP-compatible application.
- Is there a limit to the number of notes I can generate?
The only limitation is the context window of the LLM, which may affect longer conversations.
- How does the integration with Notion work?
The server automatically saves generated notes to your Notion database, formatted for easy reading.
Server Config
{
"mcpServers": {
"resume_to_notion": {
"command": "/path-to-uv/uv",
"args": [
"--directory",
"/path-to-project/mcp-cornell-resume",
"run",
"main.py"
]
}
}
}